A novel grating matching method for 3D reconstruction

Automatic 3D surface reconstruction has been an important research topic in digital photogrammetry for many years. Shaping from stereoscopic information is one of the widely studied topics in computer vision. Its central part is to solve the stereo matching problem automatically. Most algorithms used to solve the matching problem can be categorized as either area-base techniques or feature-based techniques. Feature-based techniques have gained more and more popularity for and it is the method that supports activities in object recognition and image understanding. But none of the former research can ensure the 100% matching exactness, thus, cannot complete high precision 3D surface measurement. In order to improve the precision of 3D measurement, we design a novel grating matching method, which can ensure 100% matching accuracy. It does not need any other assistant symbol or flag, only select one of the gratings which have to be projected to the objects. On the beginning of the measurement, the background of the object is captured by a CCD camera. Later gratings include single grating and group gratings will be projected to the object in sequence. All the images include gratings will make a subtraction with the background. The difference of the two images will be treated as 3D cues to acquire the 3D shape. Because no recognizing work is needed, the location of the single grating and each one in the group can be positioned exactly. From a lot of experiments, the proposed grating matching method is proved and it is a technique with high precision, low costs, easy operation, and an automatically matching method. Furthermore, it can be widely used in most of 3D vision recovery systems.     

Direct determination of free tryptophan contents in soy sauces and its application as an index of soy sauce adulteration

A simple and rapid HPLC method using UV detector for determination of tryptophan (Trp) contents in pure fermented soy sauces, acid-HVP, and commercial soy sauces was developed. The method requires only simple sample pretreatment. The limit of detection (LOD) is estimated at 1 mg/L (signal-to-noise ratio of 3), and the recovery yields ranged from 92% to 108%. The analysis showed that Trp in all of the analysed acid-HVP samples was not detected and there was obvious detection of Trp (ranged from 136.4 to 261.8 mg/L) in all of the analysed fermented soy sauce samples. The observations suggest that Trp is a practical index of pure fermented soy sauce. The absence of Trp contents or lower level of Trp contents than that in pure fermented soy sauces suggests the soy sauces are not pure fermented soy sauces or presence of soy sauce adulteration. Simultaneous determination of levulinic acid (LV) in samples may be a good help in making assessment of soy sauce adulteration with acid-HVP.     

Novel SFS-NDT in the field of defect detection

NDT plays a crucial role in everyday life and is necessary to assure safety and reliability. NDT applied to surface detection as far as possible should be a non-contacting technique operating easily with low inspection costs and a high accuracy, human beings as inspectors as well as the environment should not be harmed. A novel NDT based on Shape From Shading (SFS) is introduced in this paper. SFS is a prospecting 3D recovery method because it recovers 3D shape of work piece only from one image. We firstly use SFS in the field of 3D surface defect detection, which is an effective way to guarantee the product quality. Compared with other defect detection method, this SFS method only needs CCD, optical system, image-collection card and computer. It has the merits such as low cost, easy operation, non-contact, non-destructive, no harming to people, and it is 3D overall shape detection. SFS-NDT has been used in the online defect detection measurement of TianJin SanHuan new material Ltd in Chinese Academy of Science. The 3D shape recovery method and application in the field of defect detection are presented. The precision of 3D recovery is analyzed.     

紫外分光光度法测定L-抗坏血酸多聚磷酸酯中有效维生素C含量

建立了紫外分光光度法测定L-抗坏血酸多聚磷酸酯中有效维生素C含量的方法。该方法结果准确、稳定、RSD<1%,在线性范围内,相关系数R=0.9995。对于生产和质量控制具有积极的指导意义。     

提高“工程图学”课程的教学效果和质量的实践

分析了近年来在扩大招生、学时缩短、教学基本要求提高的新的形势下，“工程图学”课程所面临的困难，探讨了“工程图学”教学的创新教学模式，实践了优化教材、采用现代化的教学方法和手段、改革课堂教学和课后实践、加强手工绘制草图能力和计算机绘图能力的培养等一系列教学改革的措施，提高“工程图学”课程的教学效果和教学质量。     

Novel 3D sphericity evaluation based on SFS-NDT

Sphericity evaluation is an important work in modern industry. Because the former 3D measurement is complex and with low precision, a lot of sphericity evaluation is studied only based on 2D measurement. But the 2D sphericity evaluation method is reported unreasonable because sphere is a 3D object. In order to evaluate sphericity error accurately and effectively, based on SFS-NDT 3D measurement method studied in reference [Research on 3D recovery based on only one online measuring image. TianJin University, Doctor thesis (2004)], this paper proposes a novel 3D sphericity evaluation method, which use all the 3D data in the evaluation procedure. Minimum zone solution using all the 3D data is adopted to make the evaluation more accurate and reliable. Compared with the conventional sphericity evaluation based on 2D measurement, the proposed 3D evaluation has the merits of non-contact, non-destructive, low cost, high speed, and high reliable. 3D shape recovery of a sphere based on SFS and its 3D sphericity evaluation procedure will be analyzed in this paper.     

《C 语言程序设计》课程自动评分系统综述

C 语言是国际上广泛流行的计算机高级程序设计语言,也是我校计算机、电子、自动化、机电等相关专业的一 门必修课。开发一个合理的C 语言程序设计课程自动评分系统,可以节省教师大量的改卷时间,实现无纸化考试,从而可以将 自动评分系统推广到其它课程中。     

基于ObjectARX的空间网格结构CAD系统的研究

提出了基于ObjectARX的空间网格结构CAD系统的体系结构,采用面向对象的系统开发技术,以AutoCAD作为图形处理平台,对基于MFC的用户界面设计、图形数据库、参数化驱动等实现技术进行了研究,在此基础上开发了基于ObjectARX的空间网格结构CAD系统。     

基于ⅡS的Web信息系统安全策略研究

本文从网络体系、操作系统、Web服务器、应用程序、数据库和管理制度安全意识等几个方面探讨了基于ⅡS的Web信息系统的安全问题,并结合目前的技术手段,阐述了构建Web信息系统应该采取的一些安全策略,实践证明,这些策略是行之有效.